ForecastService / Client / describe_what_if_analysis
describe_what_if_analysis¶
- ForecastService.Client.describe_what_if_analysis(**kwargs)¶
- Describes the what-if analysis created using the CreateWhatIfAnalysis operation. - In addition to listing the properties provided in the - CreateWhatIfAnalysisrequest, this operation lists the following properties:- CreationTime
- LastModificationTime
- Message- If an error occurred, information about the error.
- Status
 - See also: AWS API Documentation - Request Syntax- response = client.describe_what_if_analysis( WhatIfAnalysisArn='string' ) - Parameters:
- WhatIfAnalysisArn (string) – - [REQUIRED] - The Amazon Resource Name (ARN) of the what-if analysis that you are interested in. 
- Return type:
- dict 
- Returns:
- Response Syntax- { 'WhatIfAnalysisName': 'string', 'WhatIfAnalysisArn': 'string', 'ForecastArn': 'string', 'EstimatedTimeRemainingInMinutes': 123, 'Status': 'string', 'Message': 'string', 'CreationTime': datetime(2015, 1, 1), 'LastModificationTime': datetime(2015, 1, 1), 'TimeSeriesSelector': { 'TimeSeriesIdentifiers': { 'DataSource': { 'S3Config': { 'Path': 'string', 'RoleArn': 'string', 'KMSKeyArn': 'string' } }, 'Schema': { 'Attributes': [ { 'AttributeName': 'string', 'AttributeType': 'string'|'integer'|'float'|'timestamp'|'geolocation' }, ] }, 'Format': 'string' } } } - Response Structure- (dict) – - WhatIfAnalysisName (string) – - The name of the what-if analysis. 
- WhatIfAnalysisArn (string) – - The Amazon Resource Name (ARN) of the what-if analysis. 
- ForecastArn (string) – - The Amazon Resource Name (ARN) of the what-if forecast. 
- EstimatedTimeRemainingInMinutes (integer) – - The approximate time remaining to complete the what-if analysis, in minutes. 
- Status (string) – - The status of the what-if analysis. States include: - ACTIVE
- CREATE_PENDING,- CREATE_IN_PROGRESS,- CREATE_FAILED
- CREATE_STOPPING,- CREATE_STOPPED
- DELETE_PENDING,- DELETE_IN_PROGRESS,- DELETE_FAILED
 - Note- The - Statusof the what-if analysis must be- ACTIVEbefore you can access the analysis.
- Message (string) – - If an error occurred, an informational message about the error. 
- CreationTime (datetime) – - When the what-if analysis was created. 
- LastModificationTime (datetime) – - The last time the resource was modified. The timestamp depends on the status of the job: - CREATE_PENDING- The- CreationTime.
- CREATE_IN_PROGRESS- The current timestamp.
- CREATE_STOPPING- The current timestamp.
- CREATE_STOPPED- When the job stopped.
- ACTIVEor- CREATE_FAILED- When the job finished or failed.
 
- TimeSeriesSelector (dict) – - Defines the set of time series that are used to create the forecasts in a - TimeSeriesIdentifiersobject.- The - TimeSeriesIdentifiersobject needs the following information:- DataSource
- Format
- Schema
 - TimeSeriesIdentifiers (dict) – - Details about the import file that contains the time series for which you want to create forecasts. - DataSource (dict) – - The source of your data, an Identity and Access Management (IAM) role that allows Amazon Forecast to access the data and, optionally, an Key Management Service (KMS) key. - S3Config (dict) – - The path to the data stored in an Amazon Simple Storage Service (Amazon S3) bucket along with the credentials to access the data. - Path (string) – - The path to an Amazon Simple Storage Service (Amazon S3) bucket or file(s) in an Amazon S3 bucket. 
- RoleArn (string) – - The ARN of the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket or files. If you provide a value for the - KMSKeyArnkey, the role must allow access to the key.- Passing a role across Amazon Web Services accounts is not allowed. If you pass a role that isn’t in your account, you get an - InvalidInputExceptionerror.
- KMSKeyArn (string) – - The Amazon Resource Name (ARN) of an Key Management Service (KMS) key. 
 
 
- Schema (dict) – - Defines the fields of a dataset. - Attributes (list) – - An array of attributes specifying the name and type of each field in a dataset. - (dict) – - An attribute of a schema, which defines a dataset field. A schema attribute is required for every field in a dataset. The Schema object contains an array of - SchemaAttributeobjects.- AttributeName (string) – - The name of the dataset field. 
- AttributeType (string) – - The data type of the field. - For a related time series dataset, other than date, item_id, and forecast dimensions attributes, all attributes should be of numerical type (integer/float). 
 
 
 
- Format (string) – - The format of the data, either CSV or PARQUET. 
 
 
 
 
 - Exceptions- ForecastService.Client.exceptions.InvalidInputException
- ForecastService.Client.exceptions.ResourceNotFoundException